Photos | Rocking Out Under the Night Sky
A male performer electrifies the crowd with his solo performance at the 2013 Coachella Weekend 2 in Indio, as the starry night sky serves as the perfect backdrop.
BLIP-2 Description:
a man on stage with his arms raised in the airChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
lighting instrument speaker urban activities theater band rachel aggs recreation jeans day sky musician weekend coachella spotlight indoors bag accessories performer rock outdoor performance auditorium pants night building footwear crowd solo musical speech concert audience music life handbag hall stage arts leisure hat art performing group performance electronics shoe
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
-0.67
focal length
16mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2013-04-19T23:21:37.960000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.38%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-1.29%)
harmonious color
(6.02%)
immersiveness
(1.03%)
interaction
(1.00%)
interesting subject
(-41.87%)
intrusive object presence
(-6.49%)
lively color
(-28.00%)
low light
(99.80%)
noise
(-15.23%)
pleasant camera tilt
(-10.87%)
pleasant composition
(-47.85%)
pleasant lighting
(-35.45%)
pleasant pattern
(6.93%)
pleasant perspective
(5.12%)
pleasant post processing
(-0.44%)
pleasant reflection
(1.08%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.15%)
tastefully blurred
(-19.65%)
well chosen subject
(-7.79%)
well framed subject
(-33.91%)
well timed shot
(-1.46%)
all
(-3.88%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.